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    NN
    1997
    Springer
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    Neural Dynamics with Stochasticity
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    Neural Dynamics with Stochasticity
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    Hava T. Siegelmann
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    NN
    1997
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    Temporal Models in Blind Source Separation
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    Temporal Models in Blind Source Separation
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    Lucas C. Parra
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    NN
    1997
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    Learning Dynamic Bayesian Networks
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    Learning Dynamic Bayesian Networks
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    Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
    Zoubin Ghahramani
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    An Introduction to Learning Structured Information
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    An Introduction to Learning Structured Information
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    Paolo Frasconi
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    NN
    1997
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    Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions
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    Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions
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    Hervé Bourlard, Nelson Morgan
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    NN
    1997
    Springer
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    Probabilistic Models of Neuronal Spike Trains
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    Probabilistic Models of Neuronal Spike Trains
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    Pierre Baldi
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